JIGS: a modular parallel encryption and authentication pipeline for secure messaging

Abstract With the growing prevalence of security attacks, there is an increasing demand for robust cryptographic methods that ensure confidentiality and authenticity. This study presents JIGS, a hybrid secure messaging architecture designed to balance security and efficiency. JIGS integrates Elliptic Curve Diffie-Hellman (ECDH) key exchanges with nonce-based AES-128 encryption, providing forward secrecy and key authentication. Its modular design enables adaptation across diverse implementation scenarios, and Python-based prototyping facilitates rapid performance optimization. Experimental results indicate a processing speed improvement of up to 96.67% through parallelization, particularly for handling larger data sizes. A security analysis further validates the architecture’s resilience against common attack vectors while also acknowledging the inherent trade-offs between computational efficiency and cryptographic strength.

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Publication Details

Journal
Engineering Research Express
Published
2025-05-27
DOI
https://doi.org/10.1088/2631-8695/addd67
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
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JIGS: a modular parallel encryption and authentication pipeline for secure messaging

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Chaos-based Image/Signal Encryption
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JIGS: a modular parallel encryption and authentication pipeline for secure messaging

Girish Kulathumani, Ishita Agarwal, Smriti Vipin Madangarli, Jeshma Ullas, Mary Shamala Louis
article en

Abstract

Abstract With the growing prevalence of security attacks, there is an increasing demand for robust cryptographic methods that ensure confidentiality and authenticity. This study presents JIGS, a hybrid secure messaging architecture designed to balance security and efficiency. JIGS integrates Elliptic Curve Diffie-Hellman (ECDH) key exchanges with nonce-based AES-128 encryption, providing forward secrecy and key authentication. Its modular design enables adaptation across diverse implementation scenarios, and Python-based prototyping facilitates rapid performance optimization. Experimental results indicate a processing speed improvement of up to 96.67% through parallelization, particularly for handling larger data sizes. A security analysis further validates the architecture’s resilience against common attack vectors while also acknowledging the inherent trade-offs between computational efficiency and cryptographic strength.

Engineering Research ExpressVol. 7(2)
Vellore Institute of Technology University (IN)
Openalex Percentile: Top 90%
Chaos-based Image/Signal Encryption
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